Detecting Deceptive Impression Management Behaviors in Interviews Using Natural Language Processing

<p>Deceptive impression management (IM) is often used by applicants in employment interviews to improve their chances of receiving a job offer. Self-report measures of deceptive IM are typically used to evaluate interview faking in a lab setting but are limited when used in practice due to social desirability concerns. Given this limitation, natural language processing (NLP) has potential as a tool to unobtrusively assess raw interview content and measure deceptive IM. This study examined the use of open and closed-vocabulary NLP approaches for the detection of deceptive IM in mock employment interviews. In general, neither of these approaches successfully predicted deceptive IM. Several possible conclusions based on these findings are discussed. However, given the lack of empirical support for this method, organizations should proceed with caution when deciding to use NLP techniques to predict deceptive IM in employment interviews.</p>

Name thesis:degree_name

Master of Science (MS)

Level thesis:degree_level

Thesis

Discipline thesis:degree_discipline

Psychology

Year dc:date.available

2018

Author dc:creator

• Auer, Elena Margaret Lawrence

Contributors dc:contributor

• Richard N. Landers
• Xiaoxiao Hu
• Alan Meca

• Deceptive impression management
• Employee interviews
• Interview faking behaviors
• LDA
• LIWC
• Natural language processing
• Industrial and Organizational Psychology

Statement dc:rights

• <p>In Copyright. URI: <a href="http://rightsstatements.org/vocab/InC/1.0/">http://rightsstatements.org/vocab/InC/1.0/</a> This Item is protected by copyright and/or related rights. You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s).</p>

Identifier

9780438455368

OAI identifier oai:identifier

oai:digitalcommons.odu.edu:psychology_etds-1070